metadata

tags:
  - generated_from_keras_callback
  - music
model-index:
  - name: juancopi81/mutopia_guitar_mmm
    results: []
datasets:
  - juancopi81/mutopia_guitar_dataset
widget:
  - text: >-
      PIECE_START TIME_SIGNATURE=4_4 BPM=90 TRACK_START INST=0 DENSITY=2
      BAR_START NOTE_ON=43
    example_title: Time signature 4/4, BPM=90, NOTE=G2

juancopi81/mutopia_guitar_mmm

This model is a fine-tuned version of gpt2 on the Mutopia Guitar Dataset. Use the widget to generate your piece and then use this notebook to hear it (work in progress). The notebook is adapted from the one created by Dr. Tristan Behrens.

It achieves the following results on the evaluation set:

Train Loss: 0.7588
Validation Loss: 1.3974
Epoch: 2

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 5e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 9089, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'passive_serialization': True}, 'warmup_steps': 1000, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: mixed_float16

Training results

Train Loss	Validation Loss	Epoch
1.0705	1.3590	0
0.8889	1.3702	1
0.7588	1.3974	2

Framework versions

Transformers 4.21.3
TensorFlow 2.8.2
Datasets 2.4.0
Tokenizers 0.12.1